Computational Phenotyping of Two-Person Interactions Reveals Differential Neural Response to Depth-of-Thought
Figure 2
Investor depth-of-thought classification separates distinct behavioral trajectories through the game.
A) The distribution of depth-of-thought levels in all 195 investors. About half of the investors are classified as having depth-of-thought level 0. The remaining half is almost equally divided into having depth-of-thought level 1 and 2. B) Investment ratios by rounds from all three levels of depth-of-thought investors, level 0 (n = 102), level 1 (n = 49), level 2 (n = 44). C) Total monetary points earned at the end of the game in all three levels of investors. Both level 1 and level 2 investors made significantly more points than level 0 investors (Tukey HSD test, P<10−6 and P<10−5, respectively). No significant difference in total earnings was found between level 1 and level 2 investors (P>0.1). Error bars represent standard errors (SE).